• Transactions of the Korean Society of Pressure Vessels and Piping
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• v.19 no.1
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• pp.6-10
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• 2023

Only about 10% of selected equipment in nuclear power plants are monitored by wiring to address failures or problems caused by vibration. The purpose is primarily for preventive maintenance, not for predictive maintenance. This paper shows that vibration monitoring and diagnosis using Industrial 4.0 enables the complete predictive maintenance for all vibrating equipments in nuclear power plants with the convergence of internet of things; wireless technology, big data through periodic collection and artificial intelligence. Predictive maintenance using wireless technology is possible in all areas of nuclear power plants and in all systems, but it should satisfy regulatory guides on electromagnetic interference and cyber security.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.2
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• pp.161-168
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• 2019

Recently, video equipments such as CCTV, which is spreading rapidly, is being used as a means to monitor and cope with abnormal situations in almost governments, companies, and households. However, in most cases, since recognizing the abnormal situation is carried out by the monitoring person, the immediate response is difficult and is used only for post-analysis. In this paper, we present the results of the development of video surveillance system that automatically recognizing the abnormal situations and sending such events to the smartphone immediately using the latest deep learning technology. The proposed system extracts skeletons from the human objects in real time using Openpose library and then recognizes the human behaviors automatically using deep learning technology. To this end, we reconstruct Openpose library, which developed in the Caffe framework, on Darknet framework to improve real-time processing. We also verified the performance improvement through experiments. The system to be introduced in this paper has accurate and fast behavioral recognition performance and scalability, so it is expected that it can be used for video surveillance systems for various applications.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1994.10a
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• pp.103-107
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• 1994

본 연구에서는 원통 프런지 연삭에서 비가공시간을 줄이기 위해, 공연삭시간 단축과 드레싱 신호를 이용한 숫돌 손상상태 검출에 관한 연구를 수행하였다. 연삭기의 심압대에 설치한 AE센터와 숫돌 덮개에 설치한 초음파센서를 이용해 공연삭, 공작물과 숫돌의 근접, 접촉상태를 감시하고 이에 대응해 적절히 이송속도를 제어했다. 그리고 드리싱시 나타나는 AE 신호의 표준편차를 이용해 숫돌의 손상상태를 검출해서, 드레싱 기회에 대한 효과적인 정보를 제공합으로써 비가공 시간을 단축했다.

• Magazine of the Korea Institute for Structural Maintenance and Inspection
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• v.18 no.4
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• pp.63-67
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• 2014

• Journal of KSNVE
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• v.25 no.5
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• pp.11-14
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• 2015

• The Magazine of the IEIE
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• v.40 no.11
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• pp.36-43
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• 2013

• Proceedings of the Korea Society for Energy Engineering kosee Conference
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• 2004.05a
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• pp.213-218
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• 2004

• Computational Structural Engineering
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• v.22 no.3
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• pp.59-69
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• 2009

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.49 no.3
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• pp.60-66
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• 2012

In this paper, we propose abandoned object detection algorithm. When abandoned object was occluded other object, the existing methods cannot detect abandoned object because those methods are not able to estimate the location of abandoned object. In order to overcome this problem, the proposed algorithm extracts the corners around abandoned object. The detected corners are linked to center of abandoned object called by supporters. We can then estimate the location of abandoned object by using supporters. Therefore, the proposed algorithm can detect and estimate the location of abandoned object, when abandoned object is occluded by other object. For this reason, the proposed algorithm can be applied to intelligent surveillance system to prevent bomb terror, which disguises as luggage or box.

• Journal of the Korean Institute of Telematics and Electronics C
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• v.35C no.9
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• pp.49-56
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• 1998

In this paper, a design of bias circuit in temperature independent voltage detect circuit is proposed. In order to realize this intention, we are used the differences in temperature coefficient of thermal voltage, resistor and transistor forward voltage(V$\sub$BE/) which is consisted in comparator. That is, It is realized by compensating the difference of temperature coefficient due to using components with each different temperature coefficient. As well, reference voltage of the circuit is accomplished by the difference of transistor forward voltage($\Delta$V$\sub$BE/) in comparator. In using reference voltage, resistor and V$\sub$BE/ Multiplier, we can design detect voltage of the circuit. In order to test operation of proposing circuit, we manufactured IC. Then, we measured operating characteristics and capability of the circuit by using HP4145B and temperature chamber. The result, we could obtain the good variation of temperature from -0.01 %/$^{\circ}C$ to -0.025 %/$^{\circ}C$.